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Remote Sens. 2018, 10(12), 1885; https://doi.org/10.3390/rs10121885

MISR-GOES 3D Winds: Implications for Future LEO-GEO and LEO-LEO Winds

1
Carr Astronautics, 6404 Ivy Lane, Suite 333, Greenbelt, MD 20770, USA
2
NASA Goddard Space Flight Center, Greenbelt, MD 20770, USA
3
Johns Hopkins Applied Physics Laboratory, Laurel, MD 20723, USA
4
NASA Goddard Space Flight Center, Greenbelt, MD 20770, USA
*
Author to whom correspondence should be addressed.
Received: 4 October 2018 / Revised: 19 November 2018 / Accepted: 21 November 2018 / Published: 27 November 2018
(This article belongs to the Special Issue MISR)
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Abstract

Global wind observations are fundamental for studying weather and climate dynamics and for operational forecasting. Most wind measurements come from atmospheric motion vectors (AMVs) by tracking the displacement of cloud or water vapor features. These AMVs generally rely on thermal infrared (IR) techniques for their height assignments, which are subject to large uncertainties in the presence of weak or reversed vertical temperature gradients near the planetary boundary layer (PBL) and tropopause folds. Stereo imaging can overcome the height assignment problem using geometric parallax for feature height determination. In this study we develop a stereo 3D-Wind algorithm to simultaneously retrieve AMV and height from geostationary (GEO) and low Earth orbit (LEO) satellite imagery and apply it to collocated Geostationary Operational Environmental Satellite (GOES) and Multi-angle Imaging SpectroRadiometer (MISR) imagery. The new algorithm improves AMV and height relative to products from GOES or MISR alone, with an estimated accuracy of <0.5 m/s in AMV and <200 m in height with 2.2 km sampling. The algorithm can be generalized to other LEO-GEO or LEO-LEO combinations for greater spatiotemporal coverage. The technique demonstrated with MISR and GOES has important implications for future high-quality AMV observations, for which a low-cost constellation of CubeSats can play a vital role. View Full-Text
Keywords: 3D-Winds; atmospheric motion vectors (AMVs); MISR; GOES-R; planetary boundary layer (PBL); stereo imaging; parallax; CubeSats 3D-Winds; atmospheric motion vectors (AMVs); MISR; GOES-R; planetary boundary layer (PBL); stereo imaging; parallax; CubeSats
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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L. Carr, J.; L. Wu, D.; A. Kelly, M.; Gong, J. MISR-GOES 3D Winds: Implications for Future LEO-GEO and LEO-LEO Winds. Remote Sens. 2018, 10, 1885.

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